dressedinlala.com
Dressedinlala.com is an online retailer that offers a wide range of clothing and accessories for women. Their inventory includes trendy items such as dresses, tops, bottoms, swimwear, and jewelry. The website attracts customers with its stylish offerings that cater to various fashion preferences.
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dressedinlala.com's revenueOVER TIME
Over the past three months, dressedinlala.com revenue has experienced growth of 14%, compared to the preceding three months.
Top products on dressedinlala.comby revenue
dressedinlala.com competitors
In May 2025, dressedinlala.com outperformed its competitors in terms of revenue, transactions, sessions, and average order value (AOV). dressedinlala.com generated a revenue of $381,652 from 2,229 transactions and 148,351 sessions, with an AOV ranging between $150-$175 and a conversion rate of 1.00-1.50%. In comparison, crewlala.com only had a revenue of $26,489 from 336 transactions and 4,475 sessions, with a lower AOV of $75-$100 but a significantly higher conversion rate of 7.00-7.50%. diarrablu.com performed better with a revenue of $73,036 from 325 transactions and 23,716 sessions, a higher AOV of $200-$225, and the same conversion rate as dressedinlala.com. lalalandshop.com.au and figandivycollective.com also lagged behind dressedinlala.com in most metrics, showing the superior performance of dressedinlala.com within the industry.
Revenue share by device at dressedinlala.com
In May large majority of sales on dressedinlala.com, 52% was finalized on mobile devices, with 48% of sales coming from desktop devices.
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dressedinlala.com channels
Identify top traffic channels that drive growth for dressedinlala.comand discover how performance of traffic channels has changed over time.
dressedinlala.com Google Ads spend
Evaluate dressedinlala.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
dressedinlala.com devices
Review dressedinlala.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
